{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Single Transmon - Floating with 6 connection pads \n",
    "\n",
    "We'll be creating a 2D design and adding a single transmon qcomponent with 6 connection pads.\n",
    "\n",
    " Create a standard pocket transmon qubit with 6 connection pads for a ground plane,\n",
    "        with two pads connected by a junction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So, let us dive right in. For convenience, let's begin by enabling\n",
    "# automatic reloading of modules when they change.\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import MetalGUI, Dict, open_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Each time you create a new quantum circuit design, \n",
    "# you start by instantiating a QDesign class. \n",
    "\n",
    "# The design class `DesignPlanar` is best for 2D circuit designs.\n",
    "\n",
    "design = designs.DesignPlanar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Launch Qiskit Metal GUI to interactively view, edit, and simulate QDesign: Metal GUI\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To force overwrite a QComponent with an existing name.  \n",
    "# This is useful when re-running cells in a notebook. \n",
    "design.overwrite_enabled = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A transmon qubit with 6 connection pads\n",
    "You can create a ready-made transmon qubit with 6 connection pads from the QComponent Library, `qiskit_metal.qlibrary.qubits`. \n",
    "`transmon_pocket_6.py` is the file containing our qubit so `transmon_pocket_6` is the module we import. \n",
    "The `TransmonPocket6` class is our transmon qubit. Like all quantum components, `TransmonPocket6` inherits from `QComponent`. \n",
    "\n",
    " Connector lines can be added using the `connection_pads` dictionary. \n",
    " Each connector pad has a name and a list of default properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pos_x': '0um',\n",
       " 'pos_y': '0um',\n",
       " 'connection_pads': {},\n",
       " '_default_connection_pads': {'pad_gap': '15um',\n",
       "  'pad_width': '125um',\n",
       "  'pad_height': '30um',\n",
       "  'pad_cpw_shift': '0um',\n",
       "  'pad_cpw_extent': '25um',\n",
       "  'cpw_width': '10um',\n",
       "  'cpw_gap': '6um',\n",
       "  'cpw_extend': '100um',\n",
       "  'pocket_extent': '5um',\n",
       "  'pocket_rise': '0um',\n",
       "  'loc_W': '+1',\n",
       "  'loc_H': '+1'},\n",
       " 'chip': 'main',\n",
       " 'pad_gap': '30um',\n",
       " 'inductor_width': '20um',\n",
       " 'pad_width': '455um',\n",
       " 'pad_height': '90um',\n",
       " 'pocket_width': '650um',\n",
       " 'pocket_height': '650um',\n",
       " 'orientation': '0',\n",
       " 'hfss_wire_bonds': False,\n",
       " 'q3d_wire_bonds': False,\n",
       " 'hfss_inductance': '10nH',\n",
       " 'hfss_capacitance': 0,\n",
       " 'hfss_resistance': 0,\n",
       " 'hfss_mesh_kw_jj': 7e-06,\n",
       " 'q3d_inductance': '10nH',\n",
       " 'q3d_capacitance': 0,\n",
       " 'q3d_resistance': 0,\n",
       " 'q3d_mesh_kw_jj': 7e-06,\n",
       " 'gds_cell_name': 'my_other_junction'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_pocket_6 import TransmonPocket6\n",
    "\n",
    "# Be aware of the default_options that can be overridden by user.\n",
    "TransmonPocket6.get_template_options(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "transmon_options = dict(\n",
    "    pos_x = '1mm',\n",
    "    pos_y = '2mm',\n",
    "    orientation = '90',\n",
    "    \n",
    "    connection_pads=dict(\n",
    "        a = dict(loc_W=+1, loc_H=-1, pad_width='70um', cpw_extend = '50um'), \n",
    "        b = dict(loc_W=-1, loc_H=-1, pad_width='125um', cpw_extend = '50um', pad_height='60um'),\n",
    "        c = dict(loc_W=+1, loc_H=+1, pad_width='110um', cpw_extend = '50um')\n",
    "    ),\n",
    "    \n",
    "    gds_cell_name='FakeJunction_01',\n",
    ")\n",
    "\n",
    "# Create a new Transmon Pocket object with name 'Q1' \n",
    "q1 = TransmonPocket6(design, 'Q1', options=transmon_options)\n",
    "\n",
    "gui.rebuild()  # rebuild the design and plot \n",
    "gui.autoscale() # resize GUI to see QComponent \n",
    "gui.zoom_on_components(['Q1']) #Can also gui.zoom_on_components([q1.name]) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what the Q1 object looks like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[95m\u001b[1mname:    \u001b[94m\u001b[1mQ1\u001b[0m\n",
       "\u001b[95m\u001b[1mclass:   \u001b[94m\u001b[1mTransmonPocket6       \u001b[0m\n",
       "\u001b[95m\u001b[1moptions: \u001b[0m\n",
       "  'pos_x'             : '1mm',                        \n",
       "  'pos_y'             : '2mm',                        \n",
       "  \u001b[1m'connection_pads'   \u001b[0m: {\n",
       "       \u001b[1m'a'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '70um',                       \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '0um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : '10um',                       \n",
       "            'cpw_gap'           : '6um',                        \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '0um',                        \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'b'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '60um',                       \n",
       "            'pad_cpw_shift'     : '0um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : '10um',                       \n",
       "            'cpw_gap'           : '6um',                        \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '0um',                        \n",
       "            'loc_W'             : -1,                           \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'c'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '110um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '0um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : '10um',                       \n",
       "            'cpw_gap'           : '6um',                        \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '0um',                        \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : 1,                            \n",
       "                             },\n",
       "                        },\n",
       "  'chip'              : 'main',                       \n",
       "  'pad_gap'           : '30um',                       \n",
       "  'inductor_width'    : '20um',                       \n",
       "  'pad_width'         : '455um',                      \n",
       "  'pad_height'        : '90um',                       \n",
       "  'pocket_width'      : '650um',                      \n",
       "  'pocket_height'     : '650um',                      \n",
       "  'orientation'       : '90',                         \n",
       "  'hfss_wire_bonds'   : False,                        \n",
       "  'q3d_wire_bonds'    : False,                        \n",
       "  'hfss_inductance'   : '10nH',                       \n",
       "  'hfss_capacitance'  : 0,                            \n",
       "  'hfss_resistance'   : 0,                            \n",
       "  'hfss_mesh_kw_jj'   : 7e-06,                        \n",
       "  'q3d_inductance'    : '10nH',                       \n",
       "  'q3d_capacitance'   : 0,                            \n",
       "  'q3d_resistance'    : 0,                            \n",
       "  'q3d_mesh_kw_jj'    : 7e-06,                        \n",
       "  'gds_cell_name'     : 'FakeJunction_01',            \n",
       "\u001b[95m\u001b[1mmodule:  \u001b[94m\u001b[1mqiskit_metal.qlibrary.qubits.transmon_pocket_6\u001b[0m\n",
       "\u001b[95m\u001b[1mid:      \u001b[94m\u001b[1m1\u001b[0m"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1 #print Q1 information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save screenshot as a .png formatted file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Screenshot the canvas only as a .png formatted file.\n",
    "gui.figure.savefig('shot.png')\n",
    "\n",
    "from IPython.display import Image, display\n",
    "_disp_ops = dict(width=500)\n",
    "display(Image('shot.png', **_disp_ops))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Closing the Qiskit Metal GUI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gui.main_window.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
